Yanmin Gong

Dr. Yanmin Gong serves as an Associate Professor in the Department of Electrical and Computer Engineering within the Margie and Bill Klesse College of Engineering and Integrated Design at The University of Texas at San Antonio (UTSA). Based in the Biotechnology Science and Engineering Building (BSE 1.536), he maintains active research and teaching responsibilities with contact available through (210) 458-5086 and yanmin.gong@utsa.edu. His academic foundation includes a Ph.D. from the University of Florida, positioning him at the forefront of distributed systems research.

Dr. Gong's research program centers on critical challenges in next-generation computing infrastructures, with primary emphasis on:

• Federated learning architectures for heterogeneous edge environments
• Privacy-preserving distributed training via differential privacy mechanisms
• Quantum-assisted optimization for satellite-aerial-terrestrial networks
• Resource allocation and communication efficiency in mobile edge computing
• Machine learning applications in healthcare analytics and disaster response

Analysis of his 2024-2025 publications reveals three dominant research trajectories: (1) integration of large language models with federated frameworks for resource-constrained devices, (2) quantum-inspired solutions for network optimization challenges, and (3) healthcare-focused applications addressing medication adherence and opioid use disorder. His work consistently bridges theoretical innovation with practical constraints like device heterogeneity and regulatory privacy requirements.

While no specific scientific awards are documented in the source materials, Dr. Gong's prolific publication record in high-impact venues demonstrates significant scholarly contribution. The absence of listed advisees or laboratory facilities suggests his current research is conducted through collaborative projects rather than a standalone research group, with future work likely expanding quantum-federated learning intersections and public health applications.